摘要
研究了超声多普勒弦线体模的校准方法,设计研制了一个基于智能技术的超声弦线体模校准装置。该装置可通过双通道激光测速仪采集超声弦线体模的主动轮和从动轮的转速,传入分析系统进行分析计算从而计算出弦线体模的弦线速度,并可采集生理波形周期内各点线速度与数据库中标准的生理波形线速度进行比较,从而判断所设置速度下的测试波形和生理波形曲线是否满足要求。实验结果表明,相较于目前存在的对恒定血流速度的检测方法,该方法和装置不仅能便捷高效地对恒定血流速度进行检测,还可以智能化地对生理波形进行检测,有效地解决了超声弦线体模的校准溯源问题。
This study investigates the calibration method for ultrasonic Doppler string phantoms and presents the design and development of a calibration device based on intelligent technology.The device employs a dual-channel laser velocimeter to collect the rotational speeds of the drive and driven wheels of the ultrasonic string phantom.These data are then input into an analysis system to calculate the string velocity of the phantom.Additionally,the device can collect linear velocities at various points within the physiological waveform cycle and compare them with standard physiological waveform velocities in a database to determine whether the test waveform and physiological waveform curves meet requirements at the set velocity.Experimental results demonstrate that,compared to existing methods for detecting constant blood flow velocity,this method and device not only efficiently detect constant blood flow velocity but also intelligently assess physiological waveforms.This approach effectively addresses the calibration and traceability issues of ultrasonic string phantoms.
作者
齐芳
王统宇
刘哲
朱卫民
QI Fang;WANG Tongyu;LIU Zhe;ZHU Weimin(Henan Institute of Metrology,Zhengzhou 450047,China;Beijing University of Technology,Beijing 100124,China)
出处
《计量科学与技术》
2024年第7期35-40,共6页
Metrology Science and Technology
基金
河南省市场监督管理局科技计划项目(2022sj01)。
关键词
计量学
弦线体模
主动轮
线速度
激光测速
生理波形
metrology
string phantom
drive wheel
linear velocity
laser velocimetry
physiological waveforms
